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Gerald J. Agin

dblp:33/98 · DBLP profile ↗
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5ranked-venue papers
4as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 3 first-authorSystems, architecture and hardware · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
3 papers
Geometric modeling and processing · 73% Image and video processing · 23% Computational photography and imaging · 4%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%
Artificial intelligence
1 paper
3D vision · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
robot communication
0.011987
Analysis of human communication during assembly tasks · ICRA 1987
Geometric modeling and processing › shape representation › primitive-based representation
generalized cylinders
0.021981
Hierarchical Representation of Three-Dimensional Objects Using Verbal Models · IEEE Trans. Pattern Anal. Mach. Intell. 1981
Computer Description of Curved Objects · IEEE Trans. Computers 1976
Image and video processing › image representation
hierarchical image representation
0.011981
Hierarchical Representation of Three-Dimensional Objects Using Verbal Models · IEEE Trans. Pattern Anal. Mach. Intell. 1981
Geometric modeling and processing
shape representation
0.011981
Hierarchical Representation of Three-Dimensional Objects Using Verbal Models · IEEE Trans. Pattern Anal. Mach. Intell. 1981
Computer vision › 3D vision
object representation
0.011973
Computer Description of Curved Objects · IJCAI 1973
Computational photography and imaging
depth imaging
0.011976
Computer Description of Curved Objects · IEEE Trans. Computers 1976

Methods — techniques the papers use, named apart from their topics

dialogue analysis · 0.0verbal models · 0.0symbolic coordinate frames · 0.0geometric modeling · 0.0segmentation · 0.0laser ranging · 0.0
YearPublicationVenuePosition
1987 Analysis of human communication during assembly tasks
abstract
This paper studies human-to-human interaction in an attempt to reveal the kinds of human-to-machine interaction that will be necessary for intelligent robot learning of assembly tasks. Experiments were performed in which an "expert" guided an "apprentice" through a complex assembly task using spoken language but no visual communication. An analysis of the dialog reveals that certain protocols and conventions facilitate communication, and that communication breaks down when these protocols are not observed. Five types of protocols were observed: focusing, validators, referencing, descriptors and dialog structure. The implications of these results for human-robot communication are discussed.
K. Suzanne Barber, Gerald J. Agin
ICRA2
1985 Calibration and use of a light stripe range sensor mounted on the hand of a robot
abstract
A three-dimensional sensing capability can be very useful in automating the robotic handling of industrial parts. This report describes a sensor that uses a Puma robot to carry a cage in which are mounted a light-stripe projector and a lightweight television camera in fixed relationship to each other. Calculation of the Cartesian coordinates of all points illuminated by the stripe is a straightforward matter, provided the positions of the manipulator end point, the camera, and the projector are accurately known. Calibration is necessary to determine these positions. The robot itself introduces significant systematic errors. We present a procedure for reducing these errors by recalibration of the zero reference points for each joint. The relative positions of the camera and projector with respect to the robot end-point can be inferred by moving the robot to a selected set of positions and analyzing the images obtained, The ultimate accuracy of the system is a function of the conditions under which it is evaluated. Presently we estimate the worst-case accuracy to be on the order of plus or minus 5 mm.
Gerald J. Agin
ICRA1
1981 Hierarchical Representation of Three-Dimensional Objects Using Verbal Models
abstract
We present a formalism for the computer representation of three-dimensional shapes, that has as its goal to facilitate man-machine communication using verbal, graphic, and visual means. With this method, pieces may be assembled hierarchically using any of severalways of specifying attachment. The primitives of the representation are generalized cylinders, and the creating of assemblies may make use of the axes inherent in the primitives. Generic models may be described that may leave some parameters or dimensions unspecified, so that when a specific instance of the model is described, those parameters may either be explicitly specified or take on default values. The axes of local coordinate frames may be given symbolic names. A set of computer programs translates descriptions of objects into polyhedral models and line drawings.
Gerald J. Agin
IEEE Trans. Pattern Anal. Mach. Intell.1
1976 Computer Description of Curved Objects
abstract
A ranging system, consisting of a laser, computer-controlled optical deflection assembly, and TV camera, obtains three-dimensional images of curved solid objects. The object is segmented into parts by grouping parallel traces obtained from the ranging system. Making use of the property of generalized translational invariance, the parts are described in terms of generalized cylinders, consisting of a space curve, or axis, and a circular cross section function on this axis.
Gerald J. Agin, Thomas O. Binford
IEEE Trans. Computers1
1973 Computer Description of Curved Objects
Gerald J. Agin, Thomas O. Binford
IJCAI1